Senior Snowflake Data Engineer — ETL/ELT & Azure

Valiant Technologies LLC; Irving (TX); Presencial; USD 120 000 - 170 000; Tempo integral

Resumo da oferta

Valiant Technologies LLC in Irving, TX seeks an experienced Data Engineer to design, build, and optimize scalable Snowflake-based data pipelines. You will model data for analytics and BI, implement ETL/ELT processes, and ensure data quality, governance, and security across multi-source integrations.

The role emphasizes collaboration with analysts, architects, and data teams, leveraging Python, Git, CI/CD, and Agile practices to deliver reliable data platforms in a cloud-first environment.

Qualificações

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with Azure and Azure Data Factory.
• Strong SQL and Data Modeling skills.
• Experience with ETL/ELT and data warehousing concepts.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of Python is preferred.
• Experience with Git, CI/CD, and Agile methodologies.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Implement data integration from multiple source systems into Snowflake.
• Optimize Snowflake queries, warehouses, storage, and overall performance.
• Develop data models for analytics, reporting, and business intelligence.
• Ensure data quality, accuracy, security, and governance.
• Work with business analysts, architects, and data teams to understand requirements.
• Troubleshoot data pipeline and production issues.
• Participate in code reviews, documentation, and technical design discussions.

Conhecimentos

Data Engineering

SQL

Data Modeling

Python

CI/CD

Agile

Git

Cloud Platforms (AWS/Azure)

Ferramentas

Azure Data Factory

Informatica

dbt

Snowflake

Descrição da oferta de emprego

Valiant Technologies LLC in Irving, TX seeks an experienced Data Engineer to design, build, and optimize scalable Snowflake-based data pipelines. You will model data for analytics and BI, implement ETL/ELT processes, and ensure data quality, governance, and security across multi-source integrations.

The role emphasizes collaboration with analysts, architects, and data teams, leveraging Python, Git, CI/CD, and Agile practices to deliver reliable data platforms in a cloud-first environment.